Permanent Role
Location: Cambridge
Hybrid Policy: 3 days onsite and 2 days working from home weekly
Role and Responsibilities
As anAI Research Scientist, you will be part of a dynamic team working on next-generation machine learning technologies for real-world deployment on consumer devices. Your role will involve:
* Driving research and development in areas such as on-device large language and vision-language models (LLMs/VLMs), adaptive inference, and efficient mobile ML systems.
* Contributing to both ongoing research agendas and helping define new directions that push the boundaries of AI on edge devices.
* Collaborating closely with cross-functional teams across research and product engineering to transition ML innovations from prototypes into production.
* Designing and developing novel machine learning algorithms and system-level optimizations that enable scalable, high-performance AI experiences on-device.
* Translating theoretical work into applied solutions and supporting the commercialization of AI technologies for deployment at scale.
* Preparing technical documentation, contributing to publications, and supporting the creation of patents.
* Working in a collaborative, growth-oriented environment that values knowledge sharing, innovation, and personal development.
We are looking for curious, motivated individuals who thrive in a team setting and are eager to develop innovative AI systems that will have real-world impact.
Skills and Qualifications
Education & Experience:
* PhD in Computer Science, Electrical Engineering, or a related field; or equivalent research experience in industry or academia.
* Open to applicants across a range of seniority levels with relevant expertise.
Core Skills:
* Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX.
* Experience in efficient ML techniques (e.g., quantization, pruning, sparsity, distillation).
* Practical knowledge of AI deployment on embedded/mobile platforms, including CPUs, GPUs, and NPUs.
* Hands-on experience with multi-GPU or distributed training at scale.
* Strong programming skills in Python, C/C++, and familiarity with Linux-based systems.
* Competency with tools such as Git and GitHub for version control and collaboration.
* Strong teamwork and communication skills.
Desirable:
* A strong publication record in top-tier conferences (e.g., NeurIPS, ICLR, ICML, MLSys, MobiSys, ICCAD, MobiCom).
If you are interested if you can please apply below or send your CV to Trei@microtech-global.com
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